A Hybrid Steganography Method using 3LSB Substitution on Sub-Images based on a Key-Matrix

K. Ashwin, P. Vignesh, M. Rajasekhar Reddy, K. Ravichandran
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Abstract

With the increase in the amount of data transferred online, there is an increasing requirement of security. Steganography is one field of data encryption which focuses on hiding a secret message inside a cover image. A normal person intercepting the image would not be able to identify the secret message. This paper proposes a new algorithm which performs a variation of LSB substitution method in the spatial domain, where the cover image is split into various sub-images and data embedding is done on the sub-images individually. Two LSB embedding methods which operate using three threshold values are also proposed and a key matrix identifies which one of the two methods is to be applied to each of the sub-images. The results and analysis show that the proposed technique is more secure with high PSNR values and is resistant to steganalysis. It is also found that the proposed algorithm has high data embedding capacity.
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基于密钥矩阵的子图像3LSB替代混合隐写方法
随着在线传输数据量的增加,对安全性的要求也越来越高。隐写术是数据加密的一个领域,其重点是在封面图像中隐藏秘密信息。一个拦截图像的普通人将无法识别秘密信息。本文提出了一种在空间域上对LSB替换法进行改进的新算法,该算法将覆盖图像分割成多个子图像,并在子图像上分别进行数据嵌入。提出了使用三个阈值的两种LSB嵌入方法,并给出了一个关键矩阵来确定两种方法中的哪一种应用于每个子图像。结果和分析表明,该方法具有较高的信噪比和抗隐写能力,具有较高的安全性。结果表明,该算法具有较高的数据嵌入能力。
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